Breast Cancer

How artificial intelligence is transforming Breast Cancer detection, diagnosis, and treatment.

176 Papers Open Access

Showing all 176 papers

Cited by 3341
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Nat Med, 2019

Open Access
Cited by 601
Breast cancer detection using deep convolutional neural networks and support vector machines

PeerJ, 2019

Open Access
Cited by 424
Deep Learning for Whole Slide Image Analysis: An Overview

Front Med (Lausanne), 2019

Open Access
Cited by 387
Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

Sci Rep, 2016

Open Access
Cited by 373
Deep Learning Based Analysis of Histopathological Images of Breast Cancer

Front Genet, 2019

Open Access
Cited by 286
Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine

J Breast Cancer, 2023

Open Access
Cited by 255
Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction

Diagnostics (Basel), 2023

Open Access
Cited by 224
Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks

Br J Radiol, 2018

Open Access
Cited by 223
Prediction of Breast Cancer using Machine Learning Approaches

J Biomed Phys Eng, 2022

Open Access
Cited by 213
Transfer Learning in Breast Cancer Diagnoses via Ultrasound Imaging

Cancers (Basel), 2021

Open Access
Cited by 183
Breast Cancer Detection and Prevention Using Machine Learning

Diagnostics (Basel), 2023

Open Access
Cited by 180
Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024

Diagnostics (Basel), 2024

Open Access
Cited by 174
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms

Comput Math Methods Med, 2019

Open Access
Cited by 167
Overview of Artificial Intelligence in Breast Cancer Medical Imaging

J Clin Med, 2023

Open Access
Cited by 145
Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks

J Med Imaging (Bellingham), 2019

Open Access
Cited by 140
Vision Transformers in Medical Imaging: a Comprehensive Review of Advancements and Applications Across Multiple Diseases

J Imaging Inform Med, 2025

Open Access
Cited by 139
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review

Cancer Innov, 2024

Open Access
Cited by 139
Image Augmentation Techniques for Mammogram Analysis

J Imaging, 2022

Open Access
Cited by 130
The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review

Cancers (Basel), 2022

Open Access
Cited by 127
Vision-Transformer-Based Transfer Learning for Mammogram Classification

Diagnostics (Basel), 2023

Open Access
Cited by 126
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

Sci Rep, 2022

Open Access
Cited by 124
Assessment and Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparison of Imaging Modalities and Future Perspectives

Cancers (Basel), 2021

Open Access
Cited by 120
A Novel Medical Image Enhancement Algorithm for Breast Cancer Detection on Mammography Images Using Machine Learning

Diagnostics (Basel), 2023

Open Access
Cited by 114
AI reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images

NPJ Precis Oncol, 2023

Open Access
Cited by 113
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

Front Oncol, 2021

Open Access
Cited by 109
Deep learning empowered breast cancer diagnosis: Advancements in detection and classification

PLoS One, 2024

Open Access
Cited by 103
Artificial intelligence impact on breast cancer pathology: a literature review

Diagn Pathol, 2024

Open Access
Cited by 102
Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging

J Healthc Eng, 2019

Open Access
Cited by 99
Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy

Breast, 2020

Open Access
Cited by 99
Predicting breast cancer risk using interacting genetic and demographic factors and machine learning

Sci Rep, 2020

Open Access
Cited by 96
A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer

Sci Data, 2023

Open Access
Cited by 93
Deep learning identifies morphological features in breast cancer predictive of ERBB2 status and trastuzumab treatment efficacy

Sci Rep, 2021

Open Access
Cited by 90
Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology

Cancers (Basel), 2024

Open Access
Cited by 89
A generative adversarial network for synthetization of regions of interest based on digital mammograms

Sci Rep, 2022

Open Access
Cited by 79
A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk

Breast Cancer Res, 2019

Open Access
Cited by 79
Categorized contrast enhanced mammography dataset for diagnostic and AI research

Sci Data, 2022

Open Access
Cited by 72
Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology

NPJ Breast Cancer, 2023

Open Access
Cited by 66
Winter is over: The use of Artificial Intelligence to individualise radiation therapy for breast cancer

Breast, 2020

Open Access
Cited by 64
Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm

Diagnostics (Basel), 2023

Open Access
Cited by 64
Improving ductal carcinoma in situ classification by CNN with exponential linear unit and rank-based weighted pooling

Complex Intell Systems, 2021

Open Access
Cited by 64
Performance analysis of seven CNNs with transfer learning for IDC grading in breast histopathological images

Sci Rep, 2022

Open Access
Cited by 59
Breast Cancer Dataset Classification and Detection Using Deep Learning

Healthcare (Basel), 2022

Open Access
Cited by 59
Breast cancer detection: Shallow convolutional neural network against deep CNN based approach

Front Genet, 2022

Open Access
Cited by 58
Application of Deep Learning in Histopathology Images of Breast Cancer: A Review

Micromachines (Basel), 2022

Open Access
Cited by 58
Deep Learning Prediction of Pathologic Complete Response in Breast Cancer Using MRI and Other Clinical Data: A Systematic Review

Tomography, 2022

Open Access
Cited by 58
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning

J Med Imaging (Bellingham), 2020

Open Access
Cited by 58
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review

J Pathol Inform, 2024

Open Access
Cited by 56
Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept

Eur Radiol, 2022

Open Access
Cited by 52
Deep learning in breast imaging

BJR Open, 2022

Open Access
Cited by 52
Deep Learning-Based Prediction Model for Breast Cancer Recurrence Using Adjuvant Breast Cancer Cohort in Tertiary Cancer Center Registry

Front Oncol, 2021

Open Access
Cited by 52
Radiomics and AI Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in Breast Lesions Classification

Diagnostics (Basel), 2021

Open Access
Cited by 51
Using hybrid pre-trained models for breast cancer detection

PLoS One, 2024

Open Access
Cited by 49
Deep Learning Segmentation of Triple-Negative Breast Cancer (TNBC) Patient Derived Tumor Xenograft (PDX) and Sensitivity of Radiomic Pipeline to Tumor Probability Boundary

Cancers (Basel), 2021

Open Access
Cited by 48
Deep Learning in Different Ultrasound Methods for Breast Cancer from Diagnosis to Prognosis: Current Trends Challenges and Analysis

Cancers (Basel), 2023

Open Access
Cited by 47
Breast Cancer Prediction Based on Multiple Machine Learning Algorithms

Technol Cancer Res Treat, 2024

Open Access
Cited by 46
Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study

Br J Cancer, 2023

Open Access
Cited by 46
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

Front Oncol, 2022

Open Access
Cited by 45
Deep Learning Approaches for Breast Cancer Detection in Histopathology Images: A Review

Cancer Biomark, 2024

Open Access
Cited by 44
AI in Breast Cancer Imaging: A Survey of Different Applications

J Imaging, 2022

Open Access
Cited by 43
Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning

Cancers (Basel), 2021

Open Access
Cited by 43
Deep learning-based system for automatic prediction of TNBC from ultrasound images

Med Biol Eng Comput, 2023

Open Access
Cited by 43
Interpretable ML Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from their microRNA Profiles

Adv Sci (Weinh), 2022

Open Access
Cited by 43
Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification

J Imaging, 2024

Open Access
Cited by 40
Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images

Vis Comput Ind Biomed Art, 2025

Open Access
Cited by 40
Comparative Evaluation of Machine Learning Models for Subtyping Triple-Negative Breast Cancer: A Deep Learning-Based Multi-Omics Data Integration Approach

J Cancer, 2024

Open Access
Cited by 39
Progress on deep learning in digital pathology of breast cancer: a narrative review

Gland Surg, 2022

Open Access
Cited by 37
A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors

Sci Rep, 2025

Open Access
Cited by 37
Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis

Front Oncol, 2024

Open Access
Cited by 36
An Invasive Ductal Carcinomas Breast Cancer Grade Classification Using an Ensemble of CNNs

Diagnostics (Basel), 2023

Open Access
Cited by 35
Deep learning for survival analysis in breast cancer with whole slide image data

Bioinformatics, 2022

Open Access
Cited by 35
Value of the Application of CE-MRI Radiomics and Machine Learning in Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

Front Oncol, 2021

Open Access
Cited by 34
Deep Learning Using Multiple Degrees of Maximum-Intensity Projection for PET/CT Image Classification in Breast Cancer

Tomography, 2022

Open Access
Cited by 32
Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment

Cancers (Basel), 2023

Open Access
Cited by 32
Multimodal integration using a machine learning approach facilitates risk stratification in HR+/HER2- breast cancer

Cell Rep Med, 2025

Open Access
Cited by 30
Deep learning framework for comprehensive molecular and prognostic stratifications of TNBC

Fundam Res, 2024

Open Access
Cited by 29
Machine Learning Algorithm for Distinguishing Ductal Carcinoma In Situ from Invasive Breast Cancer

Cancers (Basel), 2022

Open Access
Cited by 28
Investigating the effects of AI on the personalization of breast cancer management: a systematic study

BMC Cancer, 2024

Open Access
Cited by 27
Advanced machine learning framework for enhancing breast cancer diagnostics through transcriptomic profiling

Discov Oncol, 2025

Open Access
Cited by 27
Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment

Cancers (Basel), 2021

Open Access
Cited by 27
BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations

IEEE Access, 2023

Open Access
Cited by 25
Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

Front Artif Intell, 2022

Open Access
Cited by 25
Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review

Ewha Med J, 2024

Open Access
Cited by 25
Natural Language Processing for Breast Imaging: A Systematic Review

Diagnostics (Basel), 2023

Open Access
Cited by 25
Prediction of clinicopathological features multi-omics events and prognosis based on digital pathology and deep learning in HR+/HER2- breast cancer

J Thorac Dis, 2023

Open Access
Cited by 24
A Deep Learning and Explainable Artificial Intelligence based Scheme for Breast Cancer Detection

Sci Rep, 2025

Open Access
Cited by 24
Exploring AI Approaches for Breast Cancer Detection and Diagnosis: A Review Article

Breast Cancer (Dove Med Press), 2025

Open Access
Cited by 23
Development of multiple AI pipelines that predict neoadjuvant chemotherapy response of breast cancer using H&E-stained tissues

J Pathol Clin Res, 2023

Open Access
Cited by 23
Radiomics to Differentiate Malignant and Benign Breast Lesions: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis

Cureus, 2023

Open Access
Cited by 22
Application of AI in predicting lymph node metastasis in breast cancer

Front Radiol, 2023

Open Access
Cited by 22
Automatic identification of triple negative breast cancer in ultrasonography using a deep CNN

Sci Rep, 2021

Open Access
Cited by 22
LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection

Bioengineering (Basel), 2025

Open Access
Cited by 22
Noninvasive AI System for Early Predicting Residual Cancer Burden During Neoadjuvant Chemotherapy in Breast Cancer

Ann Surg, 2025

Open Access
Cited by 22
Prediction of sentinel lymph node metastasis in breast cancer patients based on preoperative features: a deep machine learning approach

Sci Rep, 2024

Open Access
Cited by 21
AI-Based Cancer Detection Model for Contrast-Enhanced Mammography

Bioengineering (Basel), 2023

Open Access
Cited by 21
Artificial intelligence in mammography: a systematic review of the external validation

Rev Bras Ginecol Obstet, 2024

Open Access
Cited by 21
Artificial Intelligence-Powered Mammography: Navigating the Landscape of Deep Learning for Breast Cancer Detection

Cureus, 2024

Open Access
Cited by 21
Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data

Discov Oncol, 2025

Open Access
Cited by 20
A novel machine learning approach on texture analysis for automatic breast microcalcification diagnosis classification of mammogram images

J Cancer Res Clin Oncol, 2023

Open Access
Cited by 20
AI Applications to Breast MRI: Today and Tomorrow

J Magn Reson Imaging, 2024

Open Access
Cited by 18
Histopathology-based breast cancer prediction using deep learning methods for healthcare applications

Front Oncol, 2024

Open Access
Cited by 18
Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models

Asian Pac J Cancer Prev, 2024

Open Access
Cited by 17
A Systematic Review of Application Progress on Machine Learning-Based Natural Language Processing in Breast Cancer over the Past 5 Years

Diagnostics (Basel), 2023

Open Access
Cited by 17
Breast Cancer Detection Using Convolutional Neural Networks: A Deep Learning-Based Approach

Cureus, 2025

Open Access
Cited by 17
Empowering breast cancer diagnosis and radiology practice: advances in AI for contrast-enhanced mammography

Front Radiol, 2023

Open Access
Cited by 17
Predicting axillary lymph node metastasis in breast cancer using multimodal radiomics and deep learning model

Front Immunol, 2024

Open Access
Cited by 16
Enhancing Microcalcification Detection in Mammography with YOLO-v8 Performance and Clinical Implications

Diagnostics (Basel), 2024

Open Access
Cited by 16
PET Molecular Imaging in Breast Cancer: Current Applications and Future Perspectives

J Clin Med, 2024

Open Access
Cited by 16
Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT

PLoS One, 2023

Open Access
Cited by 15
Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides

Nat Commun, 2025

Open Access
Cited by 15
Improving breast cancer diagnosis by incorporating raw ultrasound parameters into machine learning

Mach Learn Sci Technol, 2022

Open Access
Cited by 15
Multi-center study on predicting breast cancer lymph node status from core needle biopsy specimens using multi-modal and multi-instance deep learning

NPJ Breast Cancer, 2023

Open Access
Cited by 14
A deep fusion-based vision transformer for breast cancer classification

Healthc Technol Lett, 2024

Open Access
Cited by 14
A Novel Deep Learning Model for Breast Tumor Ultrasound Image Classification with Lesion Region Perception

Curr Oncol, 2024

Open Access
Cited by 14
Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to established multigene assay

Breast Cancer Res Treat, 2024

Open Access
Cited by 14
Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model

JMIR Cancer, 2023

Open Access
Cited by 14
Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of Multi-institutional MRI-based 4D CNN

Radiol Imaging Cancer, 2024

Open Access
Cited by 14
Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging

NPJ Precis Oncol, 2025

Open Access
Cited by 14
Prediction of sentinel lymph node metastasis in breast cancer by using deep learning radiomics based on ultrasound images

Medicine (Baltimore), 2023

Open Access
Cited by 13
AI-based classification of breast lesion from contrast enhanced mammography: a multicenter study

Int J Surg, 2024

Open Access
Cited by 13
Explainable AI-enabled hybrid deep learning architecture for breast cancer detection

Front Immunol, 2025

Open Access
Cited by 13
Review of Artificial Intelligence Techniques for Breast Cancer Detection with Different Modalities: Mammography, Ultrasound, and Thermography Images

Bioengineering (Basel), 2025

Open Access
Cited by 13
The Future of Breast Cancer Organized Screening Program Through Artificial Intelligence: A Scoping Review

Healthcare (Basel), 2025

Open Access
Cited by 12
18F-FDG PET/CT-based deep learning radiomics predicts 5-years disease-free survival after failure to achieve pathologic complete response to neoadjuvant chemotherapy in breast cancer

EJNMMI Res, 2023

Open Access
Cited by 12
Advances in Breast Cancer Care: The Role of Artificial Intelligence and Digital Pathology in Precision Medicine

Eur J Breast Health, 2025

Open Access
Cited by 12
AI integrates multi-omics data for precision stratification and drug resistance prediction in breast cancer

Front Oncol, 2025

Open Access
Cited by 12
Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer

Cancers (Basel), 2023

Open Access
Cited by 12
Novel models based on machine learning to predict the prognosis of metaplastic breast cancer

Breast, 2025

Open Access
Cited by 11
A systematic literature review on mammography: deep learning techniques for breast cancer detection with global and Asian perspectives

BMC Cancer, 2025

Open Access
Cited by 11
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials

Cancer Imaging, 2024

Open Access
Cited by 11
Application of the Machine-Learning Model to Improve Prediction of Non-Sentinel Lymph Node Metastasis Status Among Breast Cancer Patients

Front Surg, 2022

Open Access
Cited by 11
Breast Cancer Classification with Various Optimized Deep Learning Methods

Diagnostics (Basel), 2025

Open Access
Cited by 11
Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes

J Multidiscip Healthc, 2025

Open Access
Cited by 11
Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection

Sci Rep, 2025

Open Access
Cited by 11
Synergistic transfer learning and adversarial networks for breast cancer diagnosis: benign vs invasive classification

Sci Rep, 2025

Open Access
Cited by 10
Improving breast cancer prediction using a pattern recognition network with optimal feature subsets

Croat Med J, 2021

Open Access
Cited by 10
Predicting Breast Cancer Events in DCIS Using Generative Adversarial Network Augmented Deep Learning Model

Cancers (Basel), 2023

Open Access
Cited by 10
Self-supervised learning and transformer-based technologies in breast cancer imaging

Front Radiol, 2025

Open Access
Cited by 9
AI-assisted multimodal imaging for clinical applications of breast cancer: a bibliometric analysis

Discov Oncol, 2025

Open Access
Cited by 9
Artificial Intelligence in digital pathology of breast cancer, new era of practice?

Int J Surg, 2025

Open Access
Cited by 9
Automated treatment planning for whole breast irradiation with individualized tangential IMRT fields

J Appl Clin Med Phys, 2024

Open Access
Cited by 9
Deep learning in multi-modal breast cancer data fusion: a literature review

Quant Imaging Med Surg, 2025

Open Access
Cited by 9
Interpretable Machine Learning for Serum-Based Metabolomics in Breast Cancer Diagnostics: Insights from Multi-Objective Feature Selection-Driven LightGBM-SHAP Models

Medicina (Kaunas), 2025

Open Access
Cited by 9
PCA and fine-tuned vision transformation integrating model explainability for breast cancer prediction

Vis Comput Ind Biomed Art, 2025

Open Access
Cited by 8
Breast cancer classification based on breast tissue structures using the Jigsaw puzzle task in self-supervised learning

Radiol Phys Technol, 2025

Open Access
Cited by 8
Breast radiotherapy planning: A decision-making framework using deep learning

Med Phys, 2025

Open Access
Cited by 8
Machine learning algorithms predict breast cancer incidence risk: a data-driven retrospective study based on biochemical biomarkers

BMC Cancer, 2025

Open Access
Cited by 7
AI in breast cancer screening: a critical overview of what we know

Eur Radiol, 2024

Open Access
Cited by 7
Artificial intelligence in breast cancer radiotherapy: Insights from the Toolbox Consortium Delphi study

Breast, 2025

Open Access
Cited by 7
Dynamic light scattering microscopy sensing mitochondria dynamics for label-free detection of TNBC enhanced by deep learning

Biomed Opt Express, 2023

Open Access
Cited by 7
Identification of sentinel lymph node macrometastasis in breast cancer by deep learning based on clinicopathological characteristics

Sci Rep, 2024

Open Access
Cited by 7
MRI-based artificial intelligence models for post-neoadjuvant surgery personalization in breast cancer: a narrative review of evidence from Western Pacific

Lancet Reg Health West Pac, 2025

Open Access
Cited by 7
Transformative Approaches in Breast Cancer Detection: Integrating Transformers into CAD for Histopathological Classification

Bioengineering (Basel), 2025

Open Access
Cited by 6
A deep learning model to predict dose distributions for breast cancer radiotherapy

Discov Oncol, 2025

Open Access
Cited by 6
Artificial intelligence for breast cancer management

Commun Med (Lond), 2026

Open Access
Cited by 6
Comparative Evaluation of Breast Ductal Carcinoma Grading: A Deep-Learning Model and General Pathologists Assessment Approach

Diagnostics (Basel), 2023

Open Access
Cited by 6
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion

Med Image Anal, 2023

Open Access
Cited by 5
Advanced Deep Learning Approaches in Detection Technologies for Comprehensive Breast Cancer Assessment Based on WSIs: A Systematic Literature Review

Diagnostics (Basel), 2025

Open Access
Cited by 5
Development and validation of an AI system for TNBC identification and prognosis prediction: a multicentre retrospective study

EClinicalMedicine, 2025

Open Access
Cited by 4
An explainable predictive machine learning model for axillary lymph node metastasis in breast cancer based on multimodal data: A retrospective single-center study

J Transl Med, 2025

Open Access
Cited by 4
Application of Machine Learning to Breast MR Imaging

Magn Reson Med Sci, 2025

Open Access
Cited by 4
Breast Cancer Subtype Prediction Model Employing Artificial Neural Network and 18F-FDG PET/CT

J Med Phys, 2024

Open Access
Cited by 4
Clinical prediction of pathological complete response in breast cancer: a machine learning study

BMC Cancer, 2025

Open Access
Cited by 4
Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake

Bioengineering (Basel), 2024

Open Access
Cited by 3
BREAST AI-PLAN: Prompt-Driven AI Assistance for Breast Surgery Planning – A Retrospective Single-center Study

In Vivo, 2025

Open Access
Cited by 3
Integrating deep learning features from mammography with SHAP values for ML model predicting over 5-year recurrence of breast DCIS post-lumpectomy

Front Immunol, 2025

Open Access
Cited by 3
ML-driven exploration of drug therapies for TNBC treatment

Front Mol Biosci, 2023

Open Access
Cited by 3
Task-based assessment of digital mammography microcalcification detection with deep learning denoising algorithms using in silico and physical phantom studies

J Med Imaging (Bellingham), 2023

Open Access
Cited by 2
Construction of risk prediction model of sentinel lymph node metastasis in breast cancer patients based on machine learning algorithm

Discov Oncol, 2025

Open Access
Cited by 2
The Role of Synthetic Data and Generative AI in Breast Imaging: Promise Pitfalls and Pathways Forward

Diagnostics (Basel), 2025

Open Access
Cited by 0
A non-invasive preoperative model for predicting sentinel lymph node metastasis in breast cancer using clinical data and MRI

BMC Med Imaging, 2025

Open Access
Cited by 0
Deep learning predicts the effect of neoadjuvant chemotherapy for patients with TNBC

J Pathol Inform, 2025

Open Access
Cited by 0
Deep learning-based non-invasive prediction of axillary lymph node metastasis in breast cancer: performance of the YOLO-v11 object detection algorithm

BMC Med Imaging, 2026

Open Access
Cited by 0
Development and validation of a machine learning-based model for predicting sentinel lymph node metastasis in patients with clinically node-negative breast cancer following neoadjuvant chemotherapy

Gland Surg, 2026

Open Access
Cited by 0
Efficacy of Mammographic AI-Based Computer-Aided Detection in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy

Life (Basel), 2024

Open Access
Cited by 0
From data to treatment plan: An AI-driven path for automated breast radiotherapy planning

J Appl Clin Med Phys, 2026

Open Access
Cited by 0
Multimodal Deep Learning with Routine Clinical Data for Recurrence Risk Stratification in HR+/HER2- Early Breast Cancer

Research (Wash D C), 2026

Open Access